code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from mysql import connector
def get_db_connection():
try:
return connector.connect(host="server_database_1", user="root", password="password1234", database="SMARTHOUSE")
except connector.errors.DatabaseError:
connection = connector.connect(host="server_database_1", user="root", password="pass... | normal | {
"blob_id": "6cb97e6f3c7ba312ec1458fd51635508a16f70dd",
"index": 2957,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_db_connection():\n try:\n return connector.connect(host='server_database_1', user='root',\n password='password1234', database='SMARTHOUSE')\n except co... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# Ben Suay, RAIL
# May 2013
# Worcester Polytechnic Institute
#
# http://openrave.org/docs/latest_stable/command_line_tools/
# openrave-robot.py /your/path/to/your.robot.xml --info=joints
# On that page you can find more examples on how to use openrave-robot.py.
from openravepy import *
import s... | normal | {
"blob_id": "6ad939ab541562efdaacb8b56865e76d1745176a",
"index": 2494,
"step-1": "#!/usr/bin/env python\n# Ben Suay, RAIL\n# May 2013\n# Worcester Polytechnic Institute\n#\n\n# http://openrave.org/docs/latest_stable/command_line_tools/\n# openrave-robot.py /your/path/to/your.robot.xml --info=joints\n# On that pa... | [
0
] |
import datetime
a = datetime.datetime.now()
while True:
print("""\
Welcome to HMS
1. Are you want enter data
2. Are you want see record
3. exit
""")
option = int(input("enter your option"))
print(option)
if option == 1:
print("""\
Select client na... | normal | {
"blob_id": "5c5a0fd67a6d6e805b77ddfddfe959335daa3bad",
"index": 6383,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n print(\n \"\"\" Welcome to HMS\n 1. Are you want enter data\n 2. Are you want see record\n 3. exit\n \"\"\"\n )\n opti... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def prepareTransformAttributes(attributes):
dtype = attributes.get('type')
dtype = '{}'.format(dtype)
min = attributes.get('min')
max = attributes.get('max')
ftype = attributes.get('ftype')
maxV = np.power(2.0, np.iinfo(np.dtype(dtype)).bits) - 1.0
minO = np.ii... | flexible | {
"blob_id": "57490e56833154d3ed3a18b5bf7bc4db32a50d69",
"index": 2979,
"step-1": "<mask token>\n\n\ndef prepareTransformAttributes(attributes):\n dtype = attributes.get('type')\n dtype = '{}'.format(dtype)\n min = attributes.get('min')\n max = attributes.get('max')\n ftype = attributes.get('ftype'... | [
6,
7,
11,
12,
13
] |
import numpy as np
class RandomPlayer:
def __init__(self, game):
self.game = game
def play(self, board):
a = np.random.randint(self.game.getActionSize())
valids = self.game.getValidMoves(board, 1)
while valids[a] != 1:
a = np.random.randint(self.game.getActionSize(... | normal | {
"blob_id": "efe099bc5cd0319ffefd779f1e854f1a60edc5fa",
"index": 9240,
"step-1": "<mask token>\n\n\nclass MinimaxPlayer:\n\n def __init__(self, game):\n self.game = game\n\n def play(self, Board):\n key = -1\n bem = -99999999\n board = self.to_board(Board)\n print(Board)\... | [
7,
9,
14,
16,
17
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"Widget for exporting the data"
import asyncio
from pathlib import Path
from typing import List
from bokeh.models import Div, CustomAction, CustomJS
from view.dialog import FileDialog
from utils.gui import startfile
class ... | normal | {
"blob_id": "d120172e65f329b1137df38b693e5fe7145bc80d",
"index": 2840,
"step-1": "<mask token>\n\n\nclass CSVExporter:\n <mask token>\n <mask token>\n\n def reset(self, *_):\n \"\"\"reset all\"\"\"\n\n @staticmethod\n async def _run(dlg: SaveFileDialog, mainview, ctrl, doc):\n paths ... | [
2,
7,
8,
9,
10
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('location', '0005_auto_20170303_1625'),
]
operations = [
migrations.RemoveField(
... | normal | {
"blob_id": "ca7b3b5df860d3c3fb0953857ad950affdcc671d",
"index": 9311,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('location', ... | [
0,
1,
2,
3,
4
] |
from functools import partial
def power_func(x, y, a=1, b=0):
return a * x ** y + b
new_func = partial(power_func, 2, a=4)
print(new_func(4, b=1))
print(new_func(1))
| normal | {
"blob_id": "c9f1768e2f2dd47d637c2e577067eb6cd163e972",
"index": 8331,
"step-1": "<mask token>\n\n\ndef power_func(x, y, a=1, b=0):\n return a * x ** y + b\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef power_func(x, y, a=1, b=0):\n return a * x ** y + b\n\n\n<mask token>\nprint(new_func(4, b=1))... | [
1,
2,
3,
4
] |
from django.db import models
from django.conf import settings
from django.utils.text import slugify
from six import python_2_unicode_compatible
from ckeditor_uploader.fields import RichTextUploadingField
from ckeditor.fields import RichTextField
# Create your models here.
class topic(models.Model):
name = models.Ch... | normal | {
"blob_id": "31801f62942337b0cdf0e022dc75a9e125be54e3",
"index": 4191,
"step-1": "<mask token>\n\n\nclass article(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(sel... | [
5,
7,
9,
10,
11
] |
<|reserved_special_token_0|>
class mrk_file(FileInfo):
<|reserved_special_token_0|>
def __init__(self, id_=None, file=None, parent=None):
super(mrk_file, self).__init__(id_, file, parent)
self._type = '.mrk'
<|reserved_special_token_0|>
def __setstate__(self, state):
super(mr... | flexible | {
"blob_id": "8e9aec7d3653137a05f94e4041d28f3423122751",
"index": 3990,
"step-1": "<mask token>\n\n\nclass mrk_file(FileInfo):\n <mask token>\n\n def __init__(self, id_=None, file=None, parent=None):\n super(mrk_file, self).__init__(id_, file, parent)\n self._type = '.mrk'\n <mask token>\n\... | [
4,
5,
6,
7,
8
] |
# load the dependencies
from airflow import DAG
from datetime import date, timedelta, datetime
# default_args are the default arguments applied to the DAG and all inherited tasks
DAG_DEFAULT_ARGS = {
'owner': 'airflow',
'depends_on_past': False,
'retries': 1,
'retry_delay': timedelta(minutes=1)
}
with DAG('twitte... | normal | {
"blob_id": "436cc06778bf9ac9e04a897f4a4db90c595d943c",
"index": 5969,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith DAG('twitter_dag_v1', start_date=datetime(2018, 10, 1),\n schedule_interval='@daily', default_args=DAG_DEFAULT_ARGS, catchup=False\n ) as dag:\n None\n",
"step-3": "<mask ... | [
0,
1,
2,
3,
4
] |
"""
@File : jump.py
@copyright : GG
@Coder: Leslie_s
@Date: 2020/1/26
"""
import requests
from lxml import html
import pandas as pd
import time
import pandas as pd
import datetime
import re
import json
headers = {
'accept':'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,appl... | normal | {
"blob_id": "5aecd021297fee4407d6b529c24afb3c6398f7ba",
"index": 7205,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in r:\n print(i.group(1))\n provinceName = i.group(1)\n provinceShortName = i.group(2)\n confirmedCount = i.group(3)\n iter_dict.setdefault(provinceShortName, confirm... | [
0,
1,
2,
3,
4
] |
import cv2 as cv
'''色彩空间介绍'''
'''
RGB:对于RGB的色彩空间是立方体的色彩空间 三通道 红 黄 蓝 每个灰度级为255
HSV:对于HSV的色彩空间是255度的圆柱体 三通道 高度 圆心角 半径分别是255
HIS
YCrCb
YUV
'''
'''常用的色彩空间转换函数***cvtColor'''
def colorSpaceConvert(image):
'''转换到灰度空间'''
res = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
cv.imshow("gray", res)
'''转换到HSV色彩空间'''
r... | normal | {
"blob_id": "6d359d987c50fd0d5e963d467a379eb245e3eb40",
"index": 3756,
"step-1": "<mask token>\n\n\ndef colorSpaceConvert(image):\n \"\"\"转换到灰度空间\"\"\"\n res = cv.cvtColor(image, cv.COLOR_BGR2GRAY)\n cv.imshow('gray', res)\n \"\"\"转换到HSV色彩空间\"\"\"\n res = cv.cvtColor(image, cv.COLOR_BGR2HSV)\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class ViagemSerializer(serializers.ModelSerializer):
detalhes = DetalheSerializer(many=True, read_only=True)
caixa = CaixaSerializer(read_only=True)
localPartida = HospitalSerializer(read_only=True)
localChegada = HospitalSerializer(read_only=True)
class Meta:
... | flexible | {
"blob_id": "b5c68211cfa255e47ee316dc5b0627719eacae78",
"index": 8504,
"step-1": "<mask token>\n\n\nclass ViagemSerializer(serializers.ModelSerializer):\n detalhes = DetalheSerializer(many=True, read_only=True)\n caixa = CaixaSerializer(read_only=True)\n localPartida = HospitalSerializer(read_only=True)... | [
2,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def state_preparation(m, name, p):
circ = QuantumCircuit(m, name='State prep')
if name == 'GHZ':
circ.h(0)
for k in range(1, m):
circ.cx(0, k)
elif name == 'noisy_GHZ_bitflip':
pro... | flexible | {
"blob_id": "6962bf99e3ecae473af54ded33fde09527cb82c0",
"index": 8284,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef state_preparation(m, name, p):\n circ = QuantumCircuit(m, name='State prep')\n if name == 'GHZ':\n circ.h(0)\n for k in range(1, m):\n circ.cx(0, k)... | [
0,
1,
2,
3
] |
// Time Complexity : O(n)
// Space Complexity : O(n)
// Did this code successfully run on Leetcode : Yes
// // Any problem you faced while coding this : No
// Your code here along with comments explaining your approach
class Solution:
def productExceptSelf(self, nums: List[int]) -> List[int]:
res=[]
... | normal | {
"blob_id": "23bcef07326db084d4e0e6337beb00faba329193",
"index": 1834,
"step-1": "// Time Complexity : O(n)\n// Space Complexity : O(n)\n// Did this code successfully run on Leetcode : Yes\n// // Any problem you faced while coding this : No\n\n// Your code here along with comments explaining your approach\nclass... | [
0
] |
from django import forms
from .models import Picture
class PictureUploadForm(forms.ModelForm):
class Meta:
model = Picture
exclude = ()
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
for field_name, field in self.fields.items():
field.widge... | normal | {
"blob_id": "3d45fd7dcb3b382efaefe2797ebeb33216a840fa",
"index": 680,
"step-1": "<mask token>\n\n\nclass PictureUploadForm(forms.ModelForm):\n\n\n class Meta:\n model = Picture\n exclude = ()\n <mask token>\n <mask token>\n\n\nclass PictureUpdateForm(forms.Form):\n width = forms.Integer... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def get_accuracy(model, kb):
results = []
for clause in kb.clauses:
o1, o2 = model.forward(clause)
if o2.data.numpy()[0][0] > 0.9:
results.append(1.0)
else:
results.append(0.0)
return sum(results) / len(kb.clauses)
def test_mod... | flexible | {
"blob_id": "3022cade3bfa36925bcbda8023e5cd98ed33d093",
"index": 9901,
"step-1": "<mask token>\n\n\ndef get_accuracy(model, kb):\n results = []\n for clause in kb.clauses:\n o1, o2 = model.forward(clause)\n if o2.data.numpy()[0][0] > 0.9:\n results.append(1.0)\n else:\n ... | [
2,
3,
4,
5,
6
] |
from flask_opencv_streamer.streamer import Streamer
import cv2
import numpy as np
MASK = np.array([
[0, 1, 0],
[1, -4, 1],
[0, 1, 0]
])
port = 3030
require_login = False
streamer = Streamer(port, require_login)
video_capture = cv2.VideoCapture('http://149.43.156.105/mjpg/video.mjpg')
whi... | normal | {
"blob_id": "a19b4928c9423dae6c60f39dbc5af0673b433c8e",
"index": 3551,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n _, frame = video_capture.read()\n frame = cv2.medianBlur(frame, 3)\n frame = cv2.filter2D(frame, -1, MASK)\n _, frame = cv2.threshold(frame, 10, 255, cv2.THRESH_... | [
0,
1,
2,
3,
4
] |
from torch import nn
from abc import ABCMeta, abstractmethod
class BaseEncoder(nn.Module):
__metaclass__ = ABCMeta
def __init__(self, **kwargs):
if len(kwargs) > 0:
raise RuntimeError(
"Unrecognized options: {}".format(', '.join(kwargs.keys())))
super(BaseEncoder, s... | normal | {
"blob_id": "86ee2300b5270df3dadb22f2cfea626e6556e5db",
"index": 9951,
"step-1": "<mask token>\n\n\nclass BaseEncoder(nn.Module):\n <mask token>\n\n def __init__(self, **kwargs):\n if len(kwargs) > 0:\n raise RuntimeError('Unrecognized options: {}'.format(', '.join(\n kwarg... | [
3,
4,
5,
6,
7
] |
# -*-coding:utf-8 -*
# Copyright (c) 2011-2015, Intel Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, thi... | normal | {
"blob_id": "3c2873add66172a5ed038949c31d514dcd5f26b3",
"index": 7152,
"step-1": "# -*-coding:utf-8 -*\n\n# Copyright (c) 2011-2015, Intel Corporation\n# All rights reserved.\n#\n# Redistribution and use in source and binary forms, with or without modification,\n# are permitted provided that the following condit... | [
0
] |
import itertools
def possibleNumber(digitSet, n):
res = [[]]
pools = [digitSet] * n
# print(pools)
for pool in pools:
# print(res)
res = [ x + [y] for x in res for y in pool]
for prod in res:
yield prod
# def possibleNumber(digitSet, n):
# res = []
# temp = itertoo... | normal | {
"blob_id": "fcc6dd61b94d5fa7f088fc75b748d976d1b30fa5",
"index": 1781,
"step-1": "<mask token>\n\n\ndef possibleNumber(digitSet, n):\n res = [[]]\n pools = [digitSet] * n\n for pool in pools:\n res = [(x + [y]) for x in res for y in pool]\n for prod in res:\n yield prod\n\n\n<mask token... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class Atendent(models.Model):
user = models.ForeignKey(User)
event = models.ForeignKey(Event, null=True, blank=True)
state = models.IntegerField(null=True, blank=True)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Event(models.Model):
<|reserved_spec... | flexible | {
"blob_id": "137f9310256f66ccd9fbe6626659c3c4daea0efc",
"index": 8949,
"step-1": "<mask token>\n\n\nclass Atendent(models.Model):\n user = models.ForeignKey(User)\n event = models.ForeignKey(Event, null=True, blank=True)\n state = models.IntegerField(null=True, blank=True)\n",
"step-2": "<mask token>\... | [
2,
4,
5,
6,
7
] |
import numpy as np
import os
# ----------------------------------------------------------------------------
# Common variables
# shifting channels based on rules:
# CH_SHIFT[rule_name] = {src_1_based_ch:new_1_based_ch}
CH_SHIFT = {}
CH_SHIFT[None] = None
# for 1-to-1 cards
CH_SHIFT['1to1'] = {}
for ch1 in xrange(1,... | normal | {
"blob_id": "c2ee716b72652035502a1f07dfe8aa68a104b2bb",
"index": 8255,
"step-1": "import numpy as np\nimport os\n\n# ----------------------------------------------------------------------------\n# Common variables\n\n# shifting channels based on rules:\n# CH_SHIFT[rule_name] = {src_1_based_ch:new_1_based_ch}\n... | [
0
] |
class BinaryTree:
def __init__(self, data=None):
self.data = data
self.left = None
self.right = None
def insert(self, data):
if self.data != None:
arr = [self]
while len(arr) > 0:
node = arr[0]
if node.left:
... | flexible | {
"blob_id": "3eaced9609c7adfa5457d7dcad8b2dfaeb697b16",
"index": 3220,
"step-1": "class BinaryTree:\n\n def __init__(self, data=None):\n self.data = data\n self.left = None\n self.right = None\n\n def insert(self, data):\n if self.data != None:\n arr = [self]\n ... | [
12,
15,
18,
19,
22
] |
#!/bin/env python
# coding: utf-8
"""
Dakara Online protocol generator, by Alejandro Santos
"""
from genpackets import *
from gendefs_js import *
BUILDERS = []
HANDLERS = []
DECODE_DISPATCH = []
ARGS_HANDLER = []
def write_packets_from(f, fph, base_name, namespace, P):
# Enum with IDs
if base_name != "Serv... | normal | {
"blob_id": "22dccf6bb76dab735f373089d0772f475b2d5a5d",
"index": 6849,
"step-1": "<mask token>\n\n\ndef write_packets_from(f, fph, base_name, namespace, P):\n if base_name != 'ServerPacket':\n f.write('var {base_name}ID = {{ \\n'.format(base_name=base_name))\n for i, x in enumerate(P):\n ... | [
4,
5,
6,
7,
8
] |
from datetime import datetime
import warnings
import numpy as np
import xarray as xr
from .common import HDF4, expects_file_info
pyhdf_is_installed = False
try:
from pyhdf import HDF, VS, V
from pyhdf.SD import SD, SDC
pyhdf_is_installed = True
except ImportError:
pass
__all__ = [
'CloudSat',
]
... | normal | {
"blob_id": "4328d526da14db756fad8d05457724a23e3e3ef6",
"index": 3939,
"step-1": "<mask token>\n\n\nclass CloudSat(HDF4):\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n\n @expects_file_info()\n def get_info(self, file_info, *... | [
4,
7,
8,
9,
11
] |
import time
class SequenceHeuristic(object):
def __init__(self, minChanges, minDuration, noMotionDelay):
self._minChanges = minChanges
self._minDuration = minDuration
self._noMotionDelay = noMotionDelay
self._duration = 0
def isValid(self, image, data):
numOfChanges... | normal | {
"blob_id": "e07bd4cd13209bff8bc1119a619a2954abd52592",
"index": 1515,
"step-1": "<mask token>\n\n\nclass SequenceHeuristic(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass SequenceHeuristic(object):\n\n def __init__(self, minChanges, minDuration, noMotionDelay):\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('got_info.json', 'w') as f:
f.write(x)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
headers = {'User-Agent':
'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0... | flexible | {
"blob_id": "d625e6724a3fe077a6f80b6de6b1f5bb0b95d47d",
"index": 4612,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('got_info.json', 'w') as f:\n f.write(x)\n",
"step-3": "<mask token>\nheaders = {'User-Agent':\n 'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gec... | [
0,
1,
2,
3,
4
] |
# model class for a sale record
from app.models.product import Product
class Sale(Product):
def __init__(self,product_name,quantity,unit_price,attendant,date):
super(Sale, self).__init__(product_name, quantity, unit_price)
self.attendant = attendant
self.date = date | normal | {
"blob_id": "8ed14bb9af23055f4689e06df872a1d36185cd09",
"index": 6865,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Sale(Product):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Sale(Product):\n\n def __init__(self, product_name, quantity, unit_price, attendant, date):\n ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
data = None
with open('./01-data.txt') as f:
data = f.read().splitlines()
ss = {}
s = 0
ss[s] = True
def check(data):
global ss
global s
for line in data:
s += int(line)
if ss.get(s, False):
return s
ss[s] = True
return None
v = chec... | normal | {
"blob_id": "7e1dd242c60ee12dfc4130e379fa35ae626a4d63",
"index": 5217,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef check(data):\n global ss\n global s\n for line in data:\n s += int(line)\n if ss.get(s, False):\n return s\n ss[s] = True\n return None... | [
0,
1,
2,
3,
4
] |
import os
import json
from google.appengine.ext import webapp
from generic import JsonRpcService
class ViewService(JsonRpcService):
def json_create(self):
return "Hello, World!"
| normal | {
"blob_id": "1b091d139635e90fb53b3fecc09bb879514c7b38",
"index": 7352,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ViewService(JsonRpcService):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ViewService(JsonRpcService):\n\n def json_create(self):\n return 'Hello, World!... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def talk(text):
engine.say(text)
engine.runAndWait()
def takeCommand():
try:
with sr.Microphone() as sc:
print('Listening......')
vc = listner.listen(sc)
cmd = listner.recognize_google(vc)
cmd = cmd.lower()
... | flexible | {
"blob_id": "c4f437e6f5aaeccb6dd0948c3ed1f1d465bb29ce",
"index": 1200,
"step-1": "<mask token>\n\n\ndef talk(text):\n engine.say(text)\n engine.runAndWait()\n\n\ndef takeCommand():\n try:\n with sr.Microphone() as sc:\n print('Listening......')\n vc = listner.listen(sc)\n ... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def GetPrediction(X, regr):
return regr.predict(X)
def GetRMSE(Y, YP):
return sqrt(mean_squared_error(Y, YP))
def SplitFitGKRR(X, Y):
Xt, XT, Yt, YT = cross_validation.train_test_split(X, Y, test_size=0.2)
regr = setBestParameters(len(Xt))
regr.fit(Xt, Yt)
retu... | flexible | {
"blob_id": "7d3a33968a375141c1c451ecd531ce8d97906c7f",
"index": 3065,
"step-1": "<mask token>\n\n\ndef GetPrediction(X, regr):\n return regr.predict(X)\n\n\ndef GetRMSE(Y, YP):\n return sqrt(mean_squared_error(Y, YP))\n\n\ndef SplitFitGKRR(X, Y):\n Xt, XT, Yt, YT = cross_validation.train_test_split(X, ... | [
5,
7,
8,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@view_defaults(context=IndividualResource)
class IndividualView(CRUDCommonView):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@view_defaults(context=IndividualResource)
class In... | flexible | {
"blob_id": "a3cfd507e30cf232f351fbc66d347aaca99a0447",
"index": 4059,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@view_defaults(context=IndividualResource)\nclass IndividualView(CRUDCommonView):\n <mask token>\n",
"step-3": "<mask token>\n\n\n@view_defaults(context=IndividualResource)\nclas... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def solution2(n):
return sum([i for i in range(1, n + 1) if n % i == 0])
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def solution(n):
answer = []
for i in range(1, n + 1):
if n % i == 0:
... | flexible | {
"blob_id": "7cfbc36cc6cd6ff7c30f02d979667448f2003546",
"index": 9267,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef solution2(n):\n return sum([i for i in range(1, n + 1) if n % i == 0])\n\n\n<mask token>\n",
"step-3": "def solution(n):\n answer = []\n for i in range(1, n + 1):\n ... | [
0,
1,
2,
3,
4
] |
from ShazamAPI import Shazam
import json
import sys
print("oi")
| normal | {
"blob_id": "c248d653556ecdf27e56b57930832eb293dfd579",
"index": 5413,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('oi')\n",
"step-3": "from ShazamAPI import Shazam\nimport json\nimport sys\nprint('oi')\n",
"step-4": "from ShazamAPI import Shazam\nimport json\nimport sys\n\nprint(\"oi\")\n",... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
@mod.route('/shutdown')
def shutdown():
flash(
'Shutting down.<br>When the LEDs on the board stop flashing, it should be safe to unplug your Raspberry Pi.'
)
subprocess.call(['sudo', 'halt'])
return redirect(url_for('system.index'))
<|reserved_special_tok... | flexible | {
"blob_id": "e056a1600b620519e729c597dcec57793284019a",
"index": 1470,
"step-1": "<mask token>\n\n\n@mod.route('/shutdown')\ndef shutdown():\n flash(\n 'Shutting down.<br>When the LEDs on the board stop flashing, it should be safe to unplug your Raspberry Pi.'\n )\n subprocess.call(['sudo... | [
1,
4,
5,
6,
7
] |
from .models import Video, VideoClass
from rest_framework import serializers
# Video 정보
class VideoSerializer(serializers.ModelSerializer):
class Meta:
model = Video
fields = ['videoURL','subTitle', 'numOfLike', 'numOfPlay']
# Video 분류
class VideoClassSerializer(serializers.ModelSerializer):
... | normal | {
"blob_id": "b20a8160ba455a39e990b8b37c5017645530ced3",
"index": 1545,
"step-1": "<mask token>\n\n\nclass VideoClassSerializer(serializers.ModelSerializer):\n <mask token>\n\n\n class Meta:\n model = VideoClass\n fields = 'title', 'video_set'\n\n def get_video_set(self, instance):\n ... | [
2,
3,
4,
5,
6
] |
from typing import Any
from electionguard.ballot import CiphertextAcceptedBallot
from electionguard.decryption import compute_decryption_share_for_ballot
from electionguard.election import CiphertextElectionContext
from electionguard.scheduler import Scheduler
from electionguard.serializable import write_json_object
fr... | normal | {
"blob_id": "0544c67cb14549e32b6ff8ea3215c6c65c8416ec",
"index": 5542,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@router.post('/decrypt-shares', tags=[TALLY])\ndef decrypt_ballot_shares(request: DecryptBallotSharesRequest=Body(...),\n scheduler: Scheduler=Depends(get_scheduler)) ->Any:\n \... | [
0,
1,
2,
3,
4
] |
start=0
last=100
middle=50
counter=1
print(" Guess a number between 0 and 100")
condition = int(input("Is your guess " + str(middle) + "? (0 means it's too low, 1 means it's your guess and 2 means it's too high) "))
while condition != 1:
counter += 1
if condition == 0:
last = middle
elif conditio... | normal | {
"blob_id": "42d03aabef7d75c813f30bb6d8a835d76fd1fc83",
"index": 603,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(' Guess a number between 0 and 100')\n<mask token>\nwhile condition != 1:\n counter += 1\n if condition == 0:\n last = middle\n elif condition == 2:\n start = ... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
# --------------------( LICENSE )--------------------
# Copyright (c) 2014-2023 Beartype authors.
# See "LICENSE" for further details.
'''
Project-wide **standard Python module globals** (i.e., global constants
describing modules and packages bundled with CPython's sta... | normal | {
"blob_id": "a42f36fca2f65d0c5c9b65055af1814d8b4b3d42",
"index": 89,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nBUILTINS_MODULE_NAME = 'builtins'\n<mask token>\n",
"step-3": "#!/usr/bin/env python3\n# --------------------( LICENSE )--------------------\n# Copyright (c) 20... | [
0,
1,
2
] |
"""component URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')... | normal | {
"blob_id": "0de735647cf87f64ab64af081da6e11b0ed8a7a7",
"index": 1173,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^login/$', login_page, name='login'), url('^logout/$',\n logout_page, name='logout'), url('^register/$', register_page, name=\n 'register'), url('^product/$', pr... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class MessageUnpacker:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def unpack_json_to_dict(self, incoming_json):
record_as_dict = json.loads(incoming_json)
return record_as_dict
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|r... | flexible | {
"blob_id": "2afc1027c6866e8ab9584a5f7feef4470661f763",
"index": 4246,
"step-1": "<mask token>\n\n\nclass MessageUnpacker:\n <mask token>\n <mask token>\n\n def unpack_json_to_dict(self, incoming_json):\n record_as_dict = json.loads(incoming_json)\n return record_as_dict\n <mask token>\... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@bp_admin.route('/profile', methods=['GET', 'POST'])
@login_required
def profile_edit():
"""Show user profile edition form."""
form = ProfileForm(obj=current_user)
if form.validate_on_submit():
form.populate_... | flexible | {
"blob_id": "cde62c5032109bb22aa81d813e30097dad80a9c3",
"index": 4924,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@bp_admin.route('/profile', methods=['GET', 'POST'])\n@login_required\ndef profile_edit():\n \"\"\"Show user profile edition form.\"\"\"\n form = ProfileForm(obj=current_user)\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
input_object.close()
<|reserved_special_token_0|>
for line in input_data:
cleaned_data.append(int(line.strip()))
<|reserved_special_token_0|>
for i in range(0, input_size):
for j in range(i, input_size):
for k in r... | flexible | {
"blob_id": "72f3ae476581ff5acd6c7101764f4764285a47bd",
"index": 4426,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ninput_object.close()\n<mask token>\nfor line in input_data:\n cleaned_data.append(int(line.strip()))\n<mask token>\nfor i in range(0, input_size):\n for j in range(i, input_size):\n... | [
0,
1,
2,
3
] |
from django.http import response
from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.response import Response
from .models import User
from .serializers import UserSerializer,UserCreationSerialier,UserEditionSerializer
from rest_framework import status
from rest_framework.pe... | normal | {
"blob_id": "dff454cbde985a08b34377b80dd8e3b22f1cc13a",
"index": 3948,
"step-1": "<mask token>\n\n\nclass CreateUser(APIView):\n <mask token>\n\n\nclass EditUser(APIView):\n\n def put(self, request, pk):\n user = User.objects.filter(pk=pk, is_removed=False).first()\n if user is None:\n ... | [
8,
10,
11,
13,
15
] |
ii = [('CookGHP3.py', 1), ('AubePRP2.py', 1), ('WilkJMC3.py', 1), (
'LeakWTI3.py', 1), ('AubePRP.py', 2), ('GellWPT.py', 2), ('AdamWEP.py',
1), ('KiddJAE.py', 1), ('CoolWHM.py', 1), ('WadeJEB.py', 1), (
'SoutRD.py', 2), ('WheeJPT.py', 1), ('HowiWRL2.py', 1), ('WilkJMC.py',
1), ('WestJIT.py', 1), ('Dequ... | normal | {
"blob_id": "dce496c9ae6605e95ffbbb2885ec15b19fb756ef",
"index": 2799,
"step-1": "<mask token>\n",
"step-2": "ii = [('CookGHP3.py', 1), ('AubePRP2.py', 1), ('WilkJMC3.py', 1), (\n 'LeakWTI3.py', 1), ('AubePRP.py', 2), ('GellWPT.py', 2), ('AdamWEP.py',\n 1), ('KiddJAE.py', 1), ('CoolWHM.py', 1), ('WadeJEB... | [
0,
1
] |
from django.db import models
from datetime import datetime
class Folder(models.Model):
folder = models.CharField(max_length=200, default = "misc")
num_of_entries = models.IntegerField(default=0)
def __str__(self):
return self.folder
class Meta:
verbose_name_plural = "Folders/Categories"
class Bookmark(model... | normal | {
"blob_id": "ca3cdbd5d5d30be4f40925366994c3ea9d9b9614",
"index": 3195,
"step-1": "<mask token>\n\n\nclass Folder(models.Model):\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n verbose_name_plural = 'Folders/Categories'\n\n\nclass Bookmark(models.Model):\n name = models.Char... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(N):
a = A[i]
if a < 400:
C[0] += 1
elif a < 800:
C[1] += 1
elif a < 1200:
C[2] += 1
elif a < 1600:
C[3] += 1
elif a < 2000:
C[4] += 1
elif a < 2400... | flexible | {
"blob_id": "a1ca6c258298feda99b568f236611c1c496e3262",
"index": 8993,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(N):\n a = A[i]\n if a < 400:\n C[0] += 1\n elif a < 800:\n C[1] += 1\n elif a < 1200:\n C[2] += 1\n elif a < 1600:\n C[3] += 1\n ... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This script reads in video information frame-by-frame, and then calculates
visual edge information for each frame, storing the information in a vector.
This can be averaged within TRs in an fMRI analysis to 'regress out'
high-frequency visual information in the video.
... | normal | {
"blob_id": "d70d3d8eef711441ac89c2d98c72a5f95e0ab20d",
"index": 5261,
"step-1": "<mask token>\n\n\ndef AnalyzeFrames(vidpath):\n print('\\nGetting video info & writing out image files for each frame...\\n')\n vidObj = cv2.VideoCapture(vidpath)\n fps = vidObj.get(cv2.CAP_PROP_FPS)\n print('Frames per... | [
1,
2,
3,
4,
5
] |
"""
默认查询所有
> db.test1000.find()
{ "_id" : ObjectId("5c3559ab648171cce9135dd6"), "name" : "zhangdapeng" }
{ "_id" : ObjectId("5c3559af648171cce9135dd7"), "name" : "zhangdapeng1" }
{ "_id" : ObjectId("5c3559b2648171cce9135dd8"), "name" : "zhangdapeng2" }
{ "_id" : ObjectId("5c3559b4648171cce9135dd9"),... | normal | {
"blob_id": "d8e0198244c3df77fa0258cc97a55042e36d056f",
"index": 7756,
"step-1": "<mask token>\n",
"step-2": "\"\"\"\n默认查询所有\n > db.test1000.find()\n { \"_id\" : ObjectId(\"5c3559ab648171cce9135dd6\"), \"name\" : \"zhangdapeng\" }\n { \"_id\" : ObjectId(\"5c3559af648171cce9135dd7\"), \"name\" : \"zhan... | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
Base.metadata.create_all(bind=engine)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
SQLALCHEMY_DATABASE_URL = (
f'sqlite:///{Path(__name__).parent.absolute()}/sql_app.db')
engine = create_engine(SQLALCHEMY_DATAB... | flexible | {
"blob_id": "0656c3e1d8f84cfb33c4531e41efb4a349d08aac",
"index": 6747,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nBase.metadata.create_all(bind=engine)\n",
"step-3": "<mask token>\nSQLALCHEMY_DATABASE_URL = (\n f'sqlite:///{Path(__name__).parent.absolute()}/sql_app.db')\nengine = create_engine(S... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
np.random.seed(50)
<|reserved_special_token_0|>
rl.load_weight(load_file_name)
<|reserved_special_token_0|>
print(rl.w)
<|reserved_special_token_0|>
plt.scatter(x, track.y[0][:, 0], c='b', label='random')
plt.scatter(x, track.y[1]... | flexible | {
"blob_id": "5e6bbb10ec82e566c749dd4d794eabd2e8f7a648",
"index": 4488,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nnp.random.seed(50)\n<mask token>\nrl.load_weight(load_file_name)\n<mask token>\nprint(rl.w)\n<mask token>\nplt.scatter(x, track.y[0][:, 0], c='b', label='random')\nplt.scatter(x, track.y[... | [
0,
1,
2,
3,
4
] |
import numpy as np
catogory = np.array([50, 30, 40, 20])
data = np.array([[20, 50, 10, 15, 20], [30, 40, 20, 65, 35], [75, 30, 42,
70, 45], [40, 25, 35, 22, 55]])
print(catogory)
print(data)
print(catogory.dot(data))
print(data.T.dot(catogory))
| normal | {
"blob_id": "e4b49faaad648c6e85274abb18f994083a74013d",
"index": 7160,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(catogory)\nprint(data)\nprint(catogory.dot(data))\nprint(data.T.dot(catogory))\n",
"step-3": "<mask token>\ncatogory = np.array([50, 30, 40, 20])\ndata = np.array([[20, 50, 10, 15... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def range_func(measures):
scores = []
for entry in measures:
try:
curr = int(entry[1])
except:
curr = None
if curr is not None:
scores.append(curr)
if len(scores) < 1:
return 0
return max(scores) - min(sco... | flexible | {
"blob_id": "4c60fd123f591bf2a88ca0affe14a3c3ec0d3cf6",
"index": 60,
"step-1": "<mask token>\n\n\ndef range_func(measures):\n scores = []\n for entry in measures:\n try:\n curr = int(entry[1])\n except:\n curr = None\n if curr is not None:\n scores.appe... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def get(i):
with open('晚安.txt', 'r', encoding='utf-8') as f:
line = f.readlines()[i]
return line
<|reserved_special_token_0|>
def main():
for i in range(3650):
send(i)
time.sleep(5)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|re... | flexible | {
"blob_id": "a7d11f130e0d5d6c9b4ac7c5d3a804fb9f79b943",
"index": 2284,
"step-1": "<mask token>\n\n\ndef get(i):\n with open('晚安.txt', 'r', encoding='utf-8') as f:\n line = f.readlines()[i]\n return line\n\n\n<mask token>\n\n\ndef main():\n for i in range(3650):\n send(i)\n time.slee... | [
2,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for _ in range(t):
n, m = map(int, input().split())
rows = [0] * n
a_column = list()
for r in range(n):
tmp = list(input().split())
rows[r] = tmp
a_column.append(tmp[0])
sorted_a_column ... | flexible | {
"blob_id": "9004314951f77b14bab1aba9ae93eb49c8197a8d",
"index": 4409,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(t):\n n, m = map(int, input().split())\n rows = [0] * n\n a_column = list()\n for r in range(n):\n tmp = list(input().split())\n rows[r] = tmp\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def merge_sort(lists):
if len(lists) <= 1:
return lists
middle = len(lists) // 2
left = merge_sort(lists[:middle])
right = merge_sort(lists[middle:])
return merge(left, right)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_tok... | flexible | {
"blob_id": "cf3b66a635c6549553af738f263b035217e75a7a",
"index": 903,
"step-1": "<mask token>\n\n\ndef merge_sort(lists):\n if len(lists) <= 1:\n return lists\n middle = len(lists) // 2\n left = merge_sort(lists[:middle])\n right = merge_sort(lists[middle:])\n return merge(left, right)\n\n\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class DjangoHandler(tornado.web.RequestHandler):
async def reroute(self):
http = tornado.httpclient.AsyncHTTPClient()
new_request = copy.deepcopy(self.request)
url_obj = copy.urlparse(new_request.url)
new_request.url = f'{url_obj.scheme}://localhost:90... | flexible | {
"blob_id": "6960fc6d949512ffc783b085041f86cb791160a3",
"index": 1500,
"step-1": "<mask token>\n\n\nclass DjangoHandler(tornado.web.RequestHandler):\n\n async def reroute(self):\n http = tornado.httpclient.AsyncHTTPClient()\n new_request = copy.deepcopy(self.request)\n url_obj = copy.urlp... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
__all__ = ['ISearcher']
<|reserved_special_token_1|>
from .isearch import ISearcher
__all__ = ['ISearcher']
| flexible | {
"blob_id": "13e2f474294edb7c78bd81456097d1389e6a0f1b",
"index": 5003,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__all__ = ['ISearcher']\n",
"step-3": "from .isearch import ISearcher\n__all__ = ['ISearcher']\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
#-*- coding = utf-8-*-
#@Time : 2020/6/26 11:02
#@Author :Ella
#@File :app.py
#@Software : PyCharm
import time
import datetime
from flask import Flask,render_template,request #render_template渲染模板
app = Flask(__name__) #初始化的对象
#路由解析，通过用户访问的路径，匹配想要的函数
@app.route('/')
def hello_world():
return '你好'
#通过访问路径，获取用户的... | normal | {
"blob_id": "d68bd9c90a106a9eac767607ad77bdd84d0f18d2",
"index": 1006,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef hello_world():\n return '你好'\n\n\n@app.route('/test1/<name>')\ndef test1(name):\n return '你好，%s' % name\n\n\n@app.route('/test2/<int:id>')\ndef test2(id):\n return '你好，%d' % id\n\n\n<... | [
5,
6,
7,
9,
10
] |
# Copyright 2017 Klarna AB
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | normal | {
"blob_id": "d5d12e2269b343dde78534eddf2cce06759eb264",
"index": 9128,
"step-1": "<mask token>\n\n\n@override_settings(RETHINK_DB_DB=os.environ.get('RETHINK_DB_DB',\n 'django_rethinkci'))\nclass APITests(TestCase):\n\n @classmethod\n def setUpClass(cls):\n super(APITests, cls).setUpClass()\n ... | [
8,
12,
14,
18,
19
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from .variational_legacy import *
| normal | {
"blob_id": "ea07cb640e76ced8be92b55ee14e1d3058e073c9",
"index": 845,
"step-1": "<mask token>\n",
"step-2": "from .variational_legacy import *\n",
"step-3": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nfrom .variational_legacy import *\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1,
2
] |
from test.framework import TestCase
from test.mock import Mock
from package.util.svnutil import ReleaseXmlParser, Release
import time
class SvnUtilTests(TestCase):
def setUp(self):
r1 = Release()
r1.name = 'BETA1.1.0'
r1.type = 'BETA'
r1.version = '1.1.0'
r1.date = time.strp... | normal | {
"blob_id": "9c320db85ca1a9df6b91f6bb062e4d5c3d94ee91",
"index": 9516,
"step-1": "<mask token>\n\n\nclass SvnUtilTests(TestCase):\n\n def setUp(self):\n r1 = Release()\n r1.name = 'BETA1.1.0'\n r1.type = 'BETA'\n r1.version = '1.1.0'\n r1.date = time.strptime('2009-04-21 23:... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import markdown
from django.db import models
from django.contrib.auth.models import User
from datetime import datetime
class MovieRankings(models.Model):
"""
各种电影排行榜.
"""
name = models.CharField(max_length=100)
def __unicode__(self)... | normal | {
"blob_id": "449ae193f8817d4ee2fe67eadf72d9c19b2c5e53",
"index": 1319,
"step-1": "<mask token>\n\n\nclass MovieRankings(models.Model):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Movie(models.Model):\n \"\"\"\n 电影的数据库表格\n \"\"\"\n movie_name = models.CharField(max_length=64, blan... | [
8,
10,
11,
12,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
__author__ = 'ghou'
<|reserved_special_token_0|>
bGameValid = True
dAskUserInfo = {}
gAccMode = 0
gWhiteTestResourceVersion = None
gInvalidClientVersion = None
<|reserved_special_token_1|>
__author__ = 'ghou'
from datetime import datetime
bGameValid = True... | flexible | {
"blob_id": "2e075c3ee6b245b1ffd0bb8c4e205199f794da76",
"index": 5725,
"step-1": "<mask token>\n",
"step-2": "__author__ = 'ghou'\n<mask token>\nbGameValid = True\ndAskUserInfo = {}\ngAccMode = 0\ngWhiteTestResourceVersion = None\ngInvalidClientVersion = None\n",
"step-3": "__author__ = 'ghou'\nfrom datetime... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "9af71eaf8f6f4daacdc1def7b8c5b29e6bac6b46",
"index": 4897,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('backend', '... | [
0,
1,
2,
3,
4
] |
from .kahfm_batch import KaHFMBatch
| normal | {
"blob_id": "8e317d4d8ae8dc3d692d237e7e0abfaf37aecbb6",
"index": 7017,
"step-1": "<mask token>\n",
"step-2": "from .kahfm_batch import KaHFMBatch\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
# coding:utf-8
class Solution:
def searchInsert(self, nums, target: int):
n = len(nums)
left = 0
right = n - 1
# 返回大于等于target的第一个索引则用left，否则用right
while left <= right:
mid = (left + right) // 2
if nums[mid] == target:
return mid
... | normal | {
"blob_id": "9ec1cca08fac2fd976c1f596f7d340befc4eb339",
"index": 2020,
"step-1": "class Solution:\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Solution:\n\n def searchInsert(self, nums, target: int):\n n = len(nums)\n left = 0\n right = n ... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_station_coords(station):
if station == 'steaks':
coords = [0.4625, 0.375, 0.14]
elif station == 'griddle':
coords = [0.73, 0.375, 0.05]
elif station == 'steak_flip_initial':
coords = [... | flexible | {
"blob_id": "86c03fa85ac405a148be13325efeaaf691d9ec26",
"index": 5223,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_station_coords(station):\n if station == 'steaks':\n coords = [0.4625, 0.375, 0.14]\n elif station == 'griddle':\n coords = [0.73, 0.375, 0.05]\n elif s... | [
0,
1,
2,
3
] |
import MySQLdb
import settings
import redis
import socket
import fcntl
import struct
import datetime
db = MySQLdb.connect(settings.host, settings.user, settings.pwd, settings.db)
cursor = db.cursor()
def connect_mysql():
try:
db.ping()
except:
db = MySQLdb.connect... | normal | {
"blob_id": "b46b9b086fc089e24cb39a0c2c4ac252591b2190",
"index": 1540,
"step-1": "import MySQLdb\nimport settings\nimport redis\nimport socket\nimport fcntl\nimport struct\nimport datetime\n\n\ndb = MySQLdb.connect(settings.host, settings.user, settings.pwd, settings.db)\ncursor = db.cursor()\ndef connect_mysql(... | [
0
] |
<|reserved_special_token_0|>
class IGENMessage(object):
def __init__(self):
self.serial = None
self.temperature = None
self.pv1 = 0
self.pv2 = 0
self.pv3 = 0
self.pa1 = 0
self.pa2 = 0
self.pa3 = 0
self.ov1 = 0
self.ov2 = 0
se... | flexible | {
"blob_id": "5df42a024e1edbe5cc977a814efe580db04b8b76",
"index": 2386,
"step-1": "<mask token>\n\n\nclass IGENMessage(object):\n\n def __init__(self):\n self.serial = None\n self.temperature = None\n self.pv1 = 0\n self.pv2 = 0\n self.pv3 = 0\n self.pa1 = 0\n s... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "ab343f88c84d45cf90bddd52623362f047c72d3c",
"index": 5754,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
#MTU Server
from config import *
from pymodbus.client.sync import ModbusTcpClient
import time
import numpy as np
import logging
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import matplotlib.animation as anim
logging.basicConfig()
log = logging.getLogger()
log.setLevel(loggin... | normal | {
"blob_id": "572a9da5edcff3ff5ca0a37f982432f9712dc58c",
"index": 9279,
"step-1": "#!/usr/bin/python\n#MTU Server\nfrom config import *\nfrom pymodbus.client.sync import ModbusTcpClient\nimport time\nimport numpy as np\nimport logging\nfrom sklearn.decomposition import PCA\nimport matplotlib.pyplot as plt\nimport... | [
0
] |
print(sum([int(d) for d in str(pow(2, 1000))]))
| normal | {
"blob_id": "fc0c8deb3a5a57934c9e707911c352af55100c3c",
"index": 3533,
"step-1": "<mask token>\n",
"step-2": "print(sum([int(d) for d in str(pow(2, 1000))]))\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
#! /usr/bin/env python3
from PIL import Image
from imtools import *
import os
cwd = os.getcwd()
filelist = get_imlist(os.getcwd())
print(filelist)
for infile in filelist:
outfile = os.path.splitext(infile)[0] + ".jpg"
if infile != outfile:
try:
Image.open(infile).save(outfile)
except IOError:
print("ca... | normal | {
"blob_id": "31416f1ba9f3c44a7aa740365e05b5db49e70444",
"index": 9106,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(filelist)\nfor infile in filelist:\n outfile = os.path.splitext(infile)[0] + '.jpg'\n if infile != outfile:\n try:\n Image.open(infile).save(outfile)\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class RetModel(object):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class RetModel(object):
def __init__(self, code=0, message='success', data=None):
self.code = code
self.msg = message
self.data = data
<|re... | flexible | {
"blob_id": "ec395b93cecf8431fd0df1aa0151ebd32244c367",
"index": 4941,
"step-1": "<mask token>\n",
"step-2": "class RetModel(object):\n <mask token>\n",
"step-3": "class RetModel(object):\n\n def __init__(self, code=0, message='success', data=None):\n self.code = code\n self.msg = message... | [
0,
1,
2,
3
] |
# -*- coding:utf-8 -*-
#
from django.core.paginator import Paginator
def pagination(request, queryset, display_amount=15, after_range_num=5, bevor_range_num=4):
# 按参数分页
paginator = Paginator(queryset, display_amount)
try:
# 得到request中的page参数
page = int(request.GET['page'])
except:
... | normal | {
"blob_id": "7a2b33d1763e66335c6a72a35082e20725cab03d",
"index": 3318,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef pagination(request, queryset, display_amount=15, after_range_num=5,\n bevor_range_num=4):\n paginator = Paginator(queryset, display_amount)\n try:\n page = int(req... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
app.run_server()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
app = dash.Dash()
app.layout = html.Div(children=[html.Label('Dropdowm'), dcc.Dropdown(id=
'my-dropdown', options=[{'... | flexible | {
"blob_id": "443bf59bc3c5ed2114f0c276aa7134ff5bf7fb64",
"index": 7264,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n app.run_server()\n",
"step-3": "<mask token>\napp = dash.Dash()\napp.layout = html.Div(children=[html.Label('Dropdowm'), dcc.Dropdown(id=\n 'my-dropdo... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Aceptar_letras_wizard(models.TransientModel):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@api.multi
def aceptar_letras(self):
active_ids = self.env.context.get('active_ids', [])... | flexible | {
"blob_id": "4ad3390f8f2c92f35acde507be7a7b713af997f2",
"index": 5092,
"step-1": "<mask token>\n\n\nclass Aceptar_letras_wizard(models.TransientModel):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @api.multi\n def aceptar_letras(self):\n active_ids = self.env.context.g... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class MainWindow(Ui_MainWindow, QtCore.QObject):
def __init__(self, qmain_window):
super().__init__()
self.setupUi(qmain_window)
self._proxy_model = CustomSortFilterProxyModel(self)
self._mod... | flexible | {
"blob_id": "7a918518d8c9ff1184a634d1a5c799e735dfbc8a",
"index": 1707,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass MainWindow(Ui_MainWindow, QtCore.QObject):\n\n def __init__(self, qmain_window):\n super().__init__()\n self.setupUi(qmain_window)\n self._proxy_model = ... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(message)
<|reserved_special_token_1|>
message = 'Hello Python World '
print(message)
<|reserved_special_token_1|>
# message 为定义的变量
message = 'Hello Python World '
print(message) | flexible | {
"blob_id": "ee5e970f32b1d601f9dc3ab37a5028ce7ff8a32e",
"index": 1368,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(message)\n",
"step-3": "message = 'Hello Python World '\nprint(message)\n",
"step-4": "# message 为定义的变量\r\nmessage = 'Hello Python World '\r\nprint(message)",
"step-5": null... | [
0,
1,
2,
3
] |
from flask import Flask
from flask_ask import Ask, statement, question, session
# import json, requests
import random
app = Flask(__name__)
ask = Ask(app, "/")
def get_cat_fact():
myFacts = [
"Cats should not be fed tuna exclusively, as it lacks taurine, an essential nutrient required for good feline hea... | normal | {
"blob_id": "77971b088a7e076e3bf6d7aa320981a50e7756ce",
"index": 429,
"step-1": "<mask token>\n\n\ndef get_cat_fact():\n myFacts = [\n 'Cats should not be fed tuna exclusively, as it lacks taurine, an essential nutrient required for good feline health. Make sure you have the proper Pet supplies to kee... | [
3,
4,
5,
7,
8
] |
import numpy as np
from input_parameters.program_constants import ITERATIONS_NUM, TIMESTEPS_NUMB
def init_zero_arrays():
radius_arr = np.zeros((ITERATIONS_NUM, TIMESTEPS_NUMB))
dot_radius_arr = np.zeros((ITERATIONS_NUM, TIMESTEPS_NUMB))
dotdot_radius_arr = np.zeros((ITERATIONS_NUM, TIMESTEPS_NUMB))
d... | normal | {
"blob_id": "e652196f9c74be6f05c6148de152996e449670ea",
"index": 3059,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef init_zero_arrays():\n radius_arr = np.zeros((ITERATIONS_NUM, TIMESTEPS_NUMB))\n dot_radius_arr = np.zeros((ITERATIONS_NUM, TIMESTEPS_NUMB))\n dotdot_radius_arr = np.zeros... | [
0,
1,
2,
3
] |
'''
held-karp.py
Implementation of the Bellman-Held-Karp Algorithm to exactly solve TSPs,
requiring no external dependencies.
Includes a purely recursive implementation, as well as both top-down and
bottom-up dynamic programming approaches.
'''
import sys
def held_karp_recursive(distance_matrix):
'''
Soluti... | normal | {
"blob_id": "3e8fa71c4e23348c6f00fe97729b5717bb6245a1",
"index": 8070,
"step-1": "<mask token>\n\n\ndef held_karp_bottomup(distance_matrix):\n \"\"\"\n In the bottom up implementation, we compute all possible solutions for the\n values `i` and `visited` as in the implementations above, and then\n sim... | [
5,
8,
9,
10,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for coluna in range(0, n_colunas):
if tabela[0][coluna] < menor_valor:
menor_valor = tabela[0][coluna]
menor_posicao = coluna
<|reserved_special_token_0|>
while menor_posicao != -1:
solucao_dividida.clear()... | flexible | {
"blob_id": "785dcaf7de68174d84af3459cde02927bc2e10cc",
"index": 8951,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor coluna in range(0, n_colunas):\n if tabela[0][coluna] < menor_valor:\n menor_valor = tabela[0][coluna]\n menor_posicao = coluna\n<mask token>\nwhile menor_posicao != ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def loadConfiguration(fileloc):
"""Loads configuration from file location"""
global config
with open(fileloc, 'r') as file_:
conf = load(file_)
if config is None:
config = conf
else:
config.update(conf)
def get(key):
"""Gets the configurat... | flexible | {
"blob_id": "5261ae90a67e2df8dd1c679a8046ee3e0cbc6221",
"index": 3264,
"step-1": "<mask token>\n\n\ndef loadConfiguration(fileloc):\n \"\"\"Loads configuration from file location\"\"\"\n global config\n with open(fileloc, 'r') as file_:\n conf = load(file_)\n if config is None:\n config... | [
2,
3,
4,
5,
6
] |
from turtle import *
from shapes import *
#1-
#1.triangle
def eTriangle():
forward(100)
right(120)
forward(100)
right(120)
forward(100)
right(120)
mainloop()
#2.square
def square():
forward(100)
right(90)
forward(100)
right(90)
forward(100)
right(90)
forwa... | normal | {
"blob_id": "92d689e5caa2d8c65f86af0f8b49b009d162a783",
"index": 7379,
"step-1": "<mask token>\n\n\ndef square():\n forward(100)\n right(90)\n forward(100)\n right(90)\n forward(100)\n right(90)\n forward(100)\n mainloop()\n\n\ndef pentagon():\n forward(100)\n right(72)\n forward... | [
8,
10,
12,
14,
20
] |
#!/usr/bin/env python
import vtk
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# Create the RenderWindow, Renderer and both Actors
#
ren1 = vtk.vtkRenderer()
ren2 = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.SetMultiSamples(0)
renWin.AddRenderer(ren1)
renWin.AddRenderer(ren2)
i... | normal | {
"blob_id": "7399612f64eb8e500bc676e6d507be5fe375f40f",
"index": 3746,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nrenWin.SetMultiSamples(0)\nrenWin.AddRenderer(ren1)\nrenWin.AddRenderer(ren2)\n<mask token>\niren.SetRenderWindow(renWin)\n<mask token>\npl3d.SetXYZFileName('' + str(VTK_DATA_ROOT) + '/Da... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Ui_Login(QtWidgets.QDialog):
def __init__(self):
super(Ui_Login, self).__init__()
uic.loadUi('login.ui', self)
self.icon = self.findChild(QtWidgets.QLabel, 'ilogin')
self.icon.setStyleSheet('image: url(sorce/roundicon.png)')
self.inputUse... | flexible | {
"blob_id": "0ff6e22f8704a0c6c0ffff3c53761b9d3a531b6d",
"index": 683,
"step-1": "<mask token>\n\n\nclass Ui_Login(QtWidgets.QDialog):\n\n def __init__(self):\n super(Ui_Login, self).__init__()\n uic.loadUi('login.ui', self)\n self.icon = self.findChild(QtWidgets.QLabel, 'ilogin')\n ... | [
5,
7,
8,
9,
10
] |
# Copyright 2016-2021 Swiss National Supercomputing Centre (CSCS/ETH Zurich)
# ReFrame Project Developers. See the top-level LICENSE file for details.
#
# SPDX-License-Identifier: BSD-3-Clause
#
# Meta-class for creating regression tests.
#
import reframe.core.namespaces as namespaces
import reframe.core.parameters ... | normal | {
"blob_id": "e754a24fc9c965c50f7fa12036c884a1a54cc29d",
"index": 6853,
"step-1": "<mask token>\n\n\nclass RegressionTestMeta(type):\n\n\n class MetaNamespace(namespaces.LocalNamespace):\n \"\"\"Custom namespace to control the cls attribute assignment.\n\n Regular Python class attributes can be o... | [
2,
4,
6,
8,
10
] |
from marshmallow import ValidationError
from werkzeug.exceptions import HTTPException
from flask_jwt_extended.exceptions import JWTExtendedException
from memedata.util import mk_errors
from memedata import config
def jwt_error_handler(error):
code = 401
messages = list(getattr(error, 'args', []))
return m... | normal | {
"blob_id": "e1da3255668999c3b77aa8c9332b197a9203478e",
"index": 8992,
"step-1": "<mask token>\n\n\ndef jwt_error_handler(error):\n code = 401\n messages = list(getattr(error, 'args', []))\n return mk_errors(code, messages)\n\n\n<mask token>\n\n\ndef validation_error_handler(error):\n code = getattr(... | [
4,
5,
6,
7
] |
from math import sqrt, ceil
def encode_s(s):
encoded_s = ''
s_with_no_spaces = s.replace(' ', '')
step = ceil(sqrt(len(s_with_no_spaces)))
for j in range(0, step):
i = j
while i < len(s_with_no_spaces):
encoded_s = encoded_s + s_with_no_spaces[i]
i += step
... | normal | {
"blob_id": "a3ed47c285b26dca452fa192eb354a21a78b8424",
"index": 4632,
"step-1": "<mask token>\n\n\ndef TheRabbitsFoot(s, encode):\n if encode:\n return encode_s(s)\n return decode_s(s)\n",
"step-2": "<mask token>\n\n\ndef decode_s(s):\n arr = s.split(' ')\n decoded_s = ''\n for j in rang... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_classify_source_files() ->None:
scalatest_files = {'foo/bar/BazSpec.scala'}
junit_files = {'foo/bar/BazTest.scala'}
lib_files = {'foo/bar/Baz.scala'}
assert {ScalatestTestsGeneratorTarget: scalatest_file... | flexible | {
"blob_id": "42d2d8717ec2c25a99302e8de3090d600f8e80ff",
"index": 674,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_classify_source_files() ->None:\n scalatest_files = {'foo/bar/BazSpec.scala'}\n junit_files = {'foo/bar/BazTest.scala'}\n lib_files = {'foo/bar/Baz.scala'}\n asser... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
"""
Load API client for a Tool Registry Service (TRS) endpoint based
either on the GA4GH specification or an existing client library.
"""
import logging
from bravado.requests_client import RequestsClient
from ga4ghtest.core.config import trs_config
from .client import TRSClient
logger = logging... | normal | {
"blob_id": "d122267e1da2d9cf68d245148bb496dfba3e7d19",
"index": 4467,
"step-1": "<mask token>\n\n\nclass TRSInterface:\n\n def toolsGet(self):\n raise NotImplementedError\n\n def metadataGet(self):\n raise NotImplementedError\n <mask token>\n <mask token>\n <mask token>\n <mask t... | [
18,
21,
24,
27,
30
] |
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this... | normal | {
"blob_id": "2e2de50a7d366ca1a98d29b33ed157a1e8445ada",
"index": 3523,
"step-1": "<mask token>\n\n\ndef git_short_hash():\n try:\n git_str = '+' + os.popen('git log -1 --format=\"%h\"').read().strip()\n except:\n git_str = ''\n else:\n if git_str == '+':\n git_str = ''\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@app.task
def add(x, y):
return x + y
<|reserved_special_token_1|>
<|reserved_special_token_0|>
app = Celery('tasks', broker='redis://localhost')
@app.task
def add(x, y):
return x + y
<|reserved_special_token_1|>
... | flexible | {
"blob_id": "3ef114dd35ef3995ae73bf85bbe38db4fb7045d8",
"index": 7315,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@app.task\ndef add(x, y):\n return x + y\n",
"step-3": "<mask token>\napp = Celery('tasks', broker='redis://localhost')\n\n\n@app.task\ndef add(x, y):\n return x + y\n",
"st... | [
0,
1,
2,
3,
4
] |
#%%
# -*- coding: utf-8 -*-
import numpy as np
import plotly
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import pandas as pd
import os
output_directory = r'C:/Users/jgamm/Desktop/rssi_measurement/2020-06-10/figures'
antennas = ['original_whip']
folder = r'C:/Users/jgamm/Desktop/rssi_me... | normal | {
"blob_id": "3d3b9956a98f11a170d66280abe7f193cef9ccfb",
"index": 808,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i_angle in np.arange(0, 360, 45):\n ri_filenames.append('r%di%d.csv' % (i_angle, i_angle))\n ri_filenames.append('r%di%d.csv' % (i_angle + 45, i_angle))\nri_filenames.append('r36... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Acoount(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "18c2fe40b51ad1489d55aa2be068a1c4f381a2a5",
"index": 553,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Acoount(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n verbose_name = 'А... | [
0,
1,
2,
4,
5
] |
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